hpc-ch forum on AI/ML Services for Science

Description

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Key Questions

1. Challenges in Offering AI/ML Services:
1. What are the unique challenges HPC centers face in providing AI/ML services alongside traditional HPC capabilities?
2. How do we ensure scalability and efficiency in AI/ML workflows within HPC infrastructures?
2. User Expectations:
1. What are the expectations of users regarding AI/ML services within HPC environments?
2. How can HPC centers tailor their offerings to meet these expectations effectively?
3. Concrete Machine Learning Workflows:
1. What are the typical workflows involved in integrating ML/AI with HPC resources?
2. How can these workflows be optimized for performance and reliability?
4. Tools for AI/ML Services:
1. What tools and frameworks are currently available for providing AI/ML services in HPC settings?
2. Are there any gaps in tooling that need to be addressed to better support AI/ML integration?
5. Data Requirements and Considerations:
1. What specific requirements does ML/AI integration impose on data storage, access, and management within HPC centers?
2. How can HPC centers navigate the complexities of handling diverse data types and sources?